From the team

Thinking out loud.

Product notes, practical guides, and honest lessons from building a proactive AI companion.

LatestPerspectives6 min readBy Jerry

Exploring Proactive Agents at AirJelly: Working the Way You Do

An architectural perspective on proactive agents, user context, ongoing collaboration, and plugins that both trigger agents and provide tools.

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More from AirJelly

02Founder playbooksBy Bolt

The Medieval Art of Promotion for AI Founders

What Renaissance Florence can teach AI founders about winning capital, legitimacy, users, and public trust.

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03PerspectivesBy Error

When AI Can Decide What to Do Next, What Is Software For?

Models generate possibilities; software turns possibility into order — eight principles from building a complex AI system.

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04PerspectivesBy ziwen

DeepSeek Harness: A Coding Agent and a Meta Harness

DeepSeek Harness ships two things at once — an out-of-the-box Coding Agent and a pluggable Meta Harness framework. Why the second one matters more.

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05DesignBy yyy

How to Extend Your Own IP Fast with Claude

Why generating pixel GIFs directly kept losing the character — and how a Pixelorama MCP plus a reusable Skill turned it into a repeatable workflow.

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06Product philosophyBy KUKOO

From Context Accumulation to Context Consumption

Why AirJelly is moving from sensing and storing context to helping people actively use it.

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07EngineeringBy wanghelan

The Granularity Problem in GenUI: Where Should LLM Generation Stop?

Why more generation freedom made our UI worse — and why we stop the LLM at the product-semantics layer.

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08Team & orgBy Alex

Two Flywheels: A Management Model Built for AI Startups

One big office holds down the present, one small office runs toward the future — and three roles emerge on their own.

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09Guide

How to use Projects in AirJelly

Keep memory, rules, files, and recurring work focused inside a dedicated workspace.

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